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language: "multilingual" |
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tags: |
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- Dutch |
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- French |
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- English |
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- Tweets |
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- Sentiment analysis |
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widget: |
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- text: "I really wish I could leave my house after midnight, this makes no sense!" |
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--- |
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# Measuring Shifts in Attitudes Towards COVID-19 Measures in Belgium Using Multilingual BERT |
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[Blog post »](https://people.cs.kuleuven.be/~pieter.delobelle/attitudes-towards-covid-19-measures/?utm_source=huggingface&utm_medium=social&utm_campaign=corona_tweets) · [paper »](http://arxiv.org/abs/2104.09947) |
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This model can be used to determine if a tweet expresses support or not for a curfew. The model was trained on manually labeled tweets from Belgium in Dutch, French and English. |
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We categorized several months worth of these Tweets by topic (government COVID measure) and opinion expressed. Below is a timeline of the relative number of Tweets on the curfew topic (middle) and the fraction of those Tweets that find the curfew too strict, too loose, or a suitable measure (bottom), with the number of daily cases in Belgium to give context on the pandemic situation (top). |
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![chart.png](https://github.com/iPieter/bert-corona-tweets/raw/master/chart.png) |
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Models used in this paper are on HuggingFace: |
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- https://huggingface.co/DTAI-KULeuven/mbert-corona-tweets-belgium-curfew-support |
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- https://huggingface.co/DTAI-KULeuven/mbert-corona-tweets-belgium-topics |
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